Sree V. Chintapalli

94 total papers · 1.8k total citations
63 papers, 1.4k citations indexed

About

Sree V. Chintapalli is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Sree V. Chintapalli has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 14 papers in Physiology and 11 papers in Nutrition and Dietetics. Recurrent topics in Sree V. Chintapalli's work include Gut microbiota and health (24 papers), Diet and metabolism studies (12 papers) and Protein Structure and Dynamics (9 papers). Sree V. Chintapalli is often cited by papers focused on Gut microbiota and health (24 papers), Diet and metabolism studies (12 papers) and Protein Structure and Dynamics (9 papers). Sree V. Chintapalli collaborates with scholars based in United States, United Kingdom and Poland. Sree V. Chintapalli's co-authors include Kartik Shankar, Umesh D. Wankhade, Brian D. Piccolo, Ying Zhong, Sean H. Adams, Kelly E. Mercer, Laxmi Yeruva, Keshari Thakali, Anne K. Bowlin and María Alfaro and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Physiological Reviews.

In The Last Decade

Sree V. Chintapalli

61 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sree V. Chintapalli 864 391 235 234 155 63 1.4k
Yasuki Higashimura 1.0k 1.2× 304 0.8× 175 0.7× 206 0.9× 73 0.5× 67 1.8k
Demin Cai 882 1.0× 379 1.0× 170 0.7× 109 0.5× 200 1.3× 89 1.7k
Benjamin A. H. Jensen 893 1.0× 560 1.4× 255 1.1× 119 0.5× 83 0.5× 62 1.8k
Yan Huang 675 0.8× 415 1.1× 131 0.6× 218 0.9× 294 1.9× 62 1.7k
Lorenzo Polimeno 549 0.6× 177 0.5× 405 1.7× 195 0.8× 94 0.6× 55 1.8k
Sang Ick Park 738 0.9× 490 1.3× 347 1.5× 148 0.6× 58 0.4× 64 1.6k
Pierre‐Henri Duée 706 0.8× 634 1.6× 136 0.6× 411 1.8× 132 0.9× 75 1.7k
Matthew P. G. Barnett 808 0.9× 315 0.8× 140 0.6× 291 1.2× 93 0.6× 70 1.7k
Jean Girard 673 0.8× 343 0.9× 156 0.7× 180 0.8× 128 0.8× 53 1.4k
Arun Rawat 699 0.8× 184 0.5× 216 0.9× 96 0.4× 233 1.5× 72 1.8k

Countries citing papers authored by Sree V. Chintapalli

Since Specialization
Citations

This map shows the geographic impact of Sree V. Chintapalli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sree V. Chintapalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sree V. Chintapalli more than expected).

Fields of papers citing papers by Sree V. Chintapalli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sree V. Chintapalli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sree V. Chintapalli. The network helps show where Sree V. Chintapalli may publish in the future.

Co-authorship network of co-authors of Sree V. Chintapalli

This figure shows the co-authorship network connecting the top 25 collaborators of Sree V. Chintapalli. A scholar is included among the top collaborators of Sree V. Chintapalli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sree V. Chintapalli. Sree V. Chintapalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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